{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Reference Mapping Using cell embedding by pretrained scGPT model\n",
    "\n",
    "In this tutorial, we demonstrate how to use the scGPT model to embed cells and map them to referenced embeddings. Then the meta labels of the reference cells, such as cell type or disease conditions, can be propagated to the query cells. Particularly, we use the `scGPT_human` model to provide embedings out of the box. In this zero-shot settings, no further training is needed. All the workflow can be completed pretty fast and we observed considerable accuracy.\n",
    "\n",
    "The pancreas dataset is used in this example. Please download it from https://drive.google.com/drive/folders/1s9XjcSiPC-FYV3VeHrEa7SeZetrthQVV?usp=sharing.\n",
    "\n",
    "We provide two mode of reference mapping in the following:\n",
    "\n",
    "1. **Using a customized reference dataset with provided annotations**. Mapping unkown cells in a query set to this reference dataset. This illustrated the use case for users who already have annotations for similar samples and want to quickly transfer the annotation to the newly collected samples.\n",
    "\n",
    "2. **Using our previously collected over 33 million cells from CellXGene as reference**. Mapping unkown cells in a query set to this reference atlas. This illustrates a generic use case for users who want to map their own data to a large reference atlas. For example, this can be a fast first step to understand the cell composition of a newly collected samples.\n",
    "\n",
    "According to your use case, you may only need **apply one of the two modes**.\n",
    "\n",
    "**Note**: please note that the reference mapping is a new experimental feature.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Error: package or namespace load failed for ‘stats’ in dyn.load(file, DLLpath = DLLpath, ...):\n",
      " unable to load shared object '/scratch/ssd001/pkgs/R-3.6.1/lib/R/library/stats/libs/stats.so':\n",
      "  libRlapack.so: cannot open shared object file: No such file or directory\n",
      "During startup - Warning message:\n",
      "package ‘stats’ in options(\"defaultPackages\") was not found \n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "from pathlib import Path\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy.stats import mode\n",
    "import scanpy as sc\n",
    "import sklearn\n",
    "import warnings\n",
    "\n",
    "sys.path.insert(0, \"../\")\n",
    "import scgpt as scg\n",
    "\n",
    "# extra dependency for similarity search\n",
    "try:\n",
    "    import faiss\n",
    "\n",
    "    faiss_imported = True\n",
    "except ImportError:\n",
    "    faiss_imported = False\n",
    "    print(\n",
    "        \"faiss not installed! We highly recommend installing it for fast similarity search.\"\n",
    "    )\n",
    "    print(\"To install it, see https://github.com/facebookresearch/faiss/wiki/Installing-Faiss\")\n",
    "\n",
    "warnings.filterwarnings(\"ignore\", category=ResourceWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Referrence mapping using a customized reference dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_dir = Path(\"../save/scGPT_human\")\n",
    "adata = sc.read_h5ad(\"../data/annotation_pancreas/demo_train.h5ad\")\n",
    "cell_type_key = \"Celltype\"\n",
    "gene_col = \"index\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scGPT - INFO - match 2999/3000 genes in vocabulary of size 60697.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Embedding cells: 100%|██████████| 166/166 [00:07<00:00, 21.48it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ref_embed_adata = scg.tasks.embed_data(\n",
    "    adata,\n",
    "    model_dir,\n",
    "    gene_col=gene_col,\n",
    "    obs_to_save=cell_type_key,  # optional arg, only for saving metainfo\n",
    "    batch_size=64,\n",
    "    return_new_adata=True,\n",
    ")\n",
    "\n",
    "# # running on cpu, not recommended since it is slow\n",
    "# ref_embed_adata = scg.tasks.embed_data(\n",
    "#     adata,\n",
    "#     model_dir,\n",
    "#     gene_col=gene_col,\n",
    "#     obs_to_save=cell_type_key,\n",
    "#     batch_size=64,\n",
    "#     device=\"cpu\",\n",
    "#     use_fast_transformer=False,\n",
    "#     return_new_adata=True,\n",
    "# )\n",
    "\n",
    "# Optional step to visualize the reference dataset using the embeddings\n",
    "sc.pp.neighbors(ref_embed_adata, use_rep=\"X\")\n",
    "sc.tl.umap(ref_embed_adata)\n",
    "sc.pl.umap(ref_embed_adata, color=cell_type_key, frameon=False, wspace=0.4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scGPT - INFO - match 2999/3000 genes in vocabulary of size 60697.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Embedding cells: 100%|██████████| 66/66 [00:03<00:00, 16.74it/s]\n"
     ]
    }
   ],
   "source": [
    "test_adata = sc.read_h5ad(\"../data/annotation_pancreas/demo_test.h5ad\")\n",
    "test_embed_adata = scg.tasks.embed_data(\n",
    "    test_adata,\n",
    "    model_dir,\n",
    "    gene_col=gene_col,\n",
    "    obs_to_save=cell_type_key,  # optional arg, only for saving metainfo\n",
    "    batch_size=64,\n",
    "    return_new_adata=True,\n",
    ")\n",
    "\n",
    "# # running on cpu\n",
    "# test_embed_adata = scg.tasks.embed_data(\n",
    "#     test_adata,\n",
    "#     model_dir,\n",
    "#     gene_col=gene_col,\n",
    "#     obs_to_save=cell_type_key,\n",
    "#     batch_size=64,\n",
    "#     device=\"cpu\",\n",
    "#     use_fast_transformer=False,\n",
    "#     return_new_adata=True,\n",
    "# )\n",
    "\n",
    "# # optional step to visualize the dataset\n",
    "# sc.pp.neighbors(test_embed_adata, use_rep=\"X\")\n",
    "# sc.tl.umap(test_embed_adata)\n",
    "# sc.pl.umap(test_embed_adata, color=cell_type_key, frameon=False, wspace=0.4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Those functions are only used when faiss is not installed\n",
    "def l2_sim(a, b):\n",
    "    sims = -np.linalg.norm(a - b, axis=1)\n",
    "    return sims\n",
    "\n",
    "def get_similar_vectors(vector, ref, top_k=10):\n",
    "        # sims = cos_sim(vector, ref)\n",
    "        sims = l2_sim(vector, ref)\n",
    "        \n",
    "        top_k_idx = np.argsort(sims)[::-1][:top_k]\n",
    "        return top_k_idx, sims[top_k_idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.784257942152679"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ref_cell_embeddings = ref_embed_adata.X\n",
    "test_emebd = test_embed_adata.X\n",
    "\n",
    "k = 10  # number of neighbors\n",
    "\n",
    "if faiss_imported:\n",
    "    # Declaring index, using most of the default parameters from\n",
    "    index = faiss.IndexFlatL2(ref_cell_embeddings.shape[1])\n",
    "    index.add(ref_cell_embeddings)\n",
    "\n",
    "    # Query dataset, k - number of closest elements (returns 2 numpy arrays)\n",
    "    distances, labels = index.search(test_emebd, k)\n",
    "\n",
    "idx_list=[i for i in range(test_emebd.shape[0])]\n",
    "preds = []\n",
    "for k in idx_list:\n",
    "    if faiss_imported:\n",
    "        idx = labels[k]\n",
    "    else:\n",
    "        idx, sim = get_similar_vectors(test_emebd[k][np.newaxis, ...], ref_cell_embeddings, k)\n",
    "    pred = ref_embed_adata.obs[cell_type_key][idx].value_counts()\n",
    "    preds.append(pred.index[0])\n",
    "gt = test_adata.obs[cell_type_key].to_numpy()\n",
    "\n",
    "sklearn.metrics.accuracy_score(gt, preds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # optionally, the built index can be saved/loaded for future use\n",
    "# faiss.write_index(index, \"index.faiss\")\n",
    "# index = faiss.read_index(\"index.faiss\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reference mapping using the CellXGene atlas\n",
    "\n",
    "We have previously built the index for all the cells in normal or cancer samples, over 33 million cells in total. You can find the code to build the index at [build_atlas_index_faiss.py](build_atlas_index_faiss.py).\n",
    "We applied careful tuning to eventually well balance between the accuracy and efficiency. Now the actual building process takes less than 3 minutes and we choose to use only 16 bytes to store the vector per cell, which leads to 808 MB for the whole index of all the millions of cells. Please download the faiss index folder from https://drive.google.com/drive/folders/1q14U50SNg5LMjlZ9KH-n-YsGRi8zkCbe?usp=sharing.\n",
    "\n",
    "Faiss is required to use the index. Please install it by following the instructions at https://github.com/facebookresearch/faiss/wiki/Installing-Faiss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from build_atlas_index_faiss import load_index, vote"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading index and meta from /scratch/hdd001/home/haotian/projects/cellxemb/all ...\n",
      "Index loaded, num_embeddings: 40835767\n",
      "Set nprobe from 128 to 128 for 16384 clusters\n",
      "Loaded index with 40835767 cells\n"
     ]
    }
   ],
   "source": [
    "use_gpu = faiss.get_num_gpus() > 0\n",
    "index, meta_labels = load_index(\n",
    "    index_dir=\"path_to_faiss_index_folder\",\n",
    "    use_config_file=False,\n",
    "    use_gpu=use_gpu,\n",
    ")\n",
    "print(f\"Loaded index with {index.ntotal} cells\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The search runs super fast, especially on GPU. Here the similarity search for 4,000 query cells within the whole reference of millions should take around 7 second on CPU and 0.1 second on GPU."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 252 ms, sys: 493 ms, total: 745 ms\n",
      "Wall time: 133 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "k = 50\n",
    "# test with the first 100 cells\n",
    "distances, idx = index.search(test_emebd, k)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we propagate the previously saved cell type labels, `meta_label`, from CellXGene annotations by majority voting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4218/4218 [00:00<00:00, 20353.06it/s]\n"
     ]
    }
   ],
   "source": [
    "predict_labels = meta_labels[idx]\n",
    "# from scipy.stats import mode\n",
    "from tqdm import tqdm\n",
    "\n",
    "voting = []\n",
    "for preds in tqdm(predict_labels):\n",
    "    voting.append(vote(preds, return_prob=False)[0])\n",
    "voting = np.array(voting)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['beta' 'beta' 'beta' 'beta' 'PSC' 'beta' 'beta' 'beta' 'ductal' 'alpha']\n",
      "['neuroendocrine cell' 'classical monocyte' 'neuroendocrine cell'\n",
      " 'neuroendocrine cell' 'mural cell' 'classical monocyte' 'stromal cell'\n",
      " 'myeloid cell' 'malignant cell' 'stromal cell']\n"
     ]
    }
   ],
   "source": [
    "print(gt[:10])   # Original labels in the query dataset, used for evaluation\n",
    "print(voting[:10])  # Propagated CellXGene labels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Currently, we found the CellXGene labels are scattered in different levels of the cell type hieratchy, with more generic cell types such as stromal cells in great abundance. The difference in the number of cells in each cell type may lead to less useful annotations, even though the similarity search itself may be sufficiently accurate. We are working on a better way to curate the cell type labels in a consistent way. Our current idea is plan to apply hierarchical predictions and provide a spectrum of cell type labels for each cell, from generic to more specific cell types.\n",
    "\n",
    "You may see the proportion of cell types in the meta labels by running\n",
    "```python\n",
    "from build_atlas_index_faiss import compute_category_proportion\n",
    "compute_category_proportion(meta_labels)\n",
    "```\n",
    "\n",
    "Meanwhile, the propagation of major cell types is usually more accurate. An example with endothelial cells is provided as follows. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 16 endothelial cells\n",
      "Predicted cell types: ['capillary endothelial cell' 'capillary endothelial cell'\n",
      " 'endothelial cell of vascular tree' 'endothelial cell' 'endothelial cell'\n",
      " 'endothelial cell' 'endothelial cell' 'endothelial cell'\n",
      " 'endothelial cell' 'endothelial cell' 'endothelial cell'\n",
      " 'endothelial cell' 'endothelial cell of vascular tree' 'endothelial cell'\n",
      " 'endothelial cell' 'vein endothelial cell']\n",
      "Annotated cell types: ['endothelial' 'endothelial' 'endothelial' 'endothelial' 'endothelial'\n",
      " 'endothelial' 'endothelial' 'endothelial' 'endothelial' 'endothelial'\n",
      " 'endothelial' 'endothelial' 'endothelial' 'endothelial' 'endothelial'\n",
      " 'endothelial']\n"
     ]
    }
   ],
   "source": [
    "# find the endothelial cells\n",
    "ids_m = np.where(gt == \"endothelial\")[0]\n",
    "print(f\"Found {len(ids_m)} endothelial cells\")\n",
    "print(f\"Predicted cell types: {voting[ids_m]}\")\n",
    "print(f\"Annotated cell types: {gt[ids_m]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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